The Experts below are selected from a list of 73758 Experts worldwide ranked by ideXlab platform
Marija Ilic - One of the best experts on this subject based on the ideXlab platform.
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an information Theoretic Approach to pmu placement in electric power systems
IEEE Transactions on Smart Grid, 2013Co-Authors: Qiao Li, Rohit Negi, Yang Weng, Franz Franchetti, Marija IlicAbstract:This paper presents an information-Theoretic Approach to address the phasor measurement unit (PMU) placement problem in electric power systems. Different from the conventional `topological observability' based Approaches, this paper advocates a much more refined, information-Theoretic criterion, namely the mutual information (MI) between PMU measurements and power system states. The proposed MI criterion not only includes observability as a special case, but also rigorously models the uncertainty reduction on power system states from PMU measurements. Thus, it can generate highly informative PMU configurations. The MI criterion can also facilitate robust PMU placement by explicitly modeling probabilistic PMU outages. We propose a greedy PMU placement algorithm, and show that it achieves an approximation ratio of (1-1/e) for any PMU placement budget. We further show that the performance is the best that one can achieve, in the sense that it is NP-hard to achieve any approximation ratio beyond (1-1/e) . Such performance guarantee makes the greedy algorithm very attractive in the practical scenario of multi-stage installations for utilities with limited budgets. Finally, simulation results demonstrate near-optimal performance of the proposed PMU placement algorithm.
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an information Theoretic Approach to pmu placement in electric power systems
arXiv: Optimization and Control, 2012Co-Authors: Qiao Li, Rohit Negi, Yang Weng, Tao Cui, Franz Franchetti, Marija IlicAbstract:This paper presents an information-Theoretic Approach to address the phasor measurement unit (PMU) placement problem in electric power systems. Different from the conventional 'topological observability' based Approaches, this paper advocates a much more refined, information-Theoretic criterion, namely the mutual information (MI) between the PMU measurements and the power system states. The proposed MI criterion can not only include the full system observability as a special case, but also can rigorously model the remaining uncertainties in the power system states with PMU measurements, so as to generate highly informative PMU configurations. Further, the MI criterion can facilitate robust PMU placement by explicitly modeling probabilistic PMU outages. We propose a greedy PMU placement algorithm, and show that it achieves an approximation ratio of (1-1/e) for any PMU placement budget. We further show that the performance is the best that one can achieve in practice, in the sense that it is NP-hard to achieve any approximation ratio beyond (1-1/e). Such performance guarantee makes the greedy algorithm very attractive in the practical scenario of multi-stage installations for utilities with limited budgets. Finally, simulation results demonstrate near-optimal performance of the proposed PMU placement algorithm.
Hsiao-hwa Chen - One of the best experts on this subject based on the ideXlab platform.
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An Energy-aware Trust Derivation Scheme with Game Theoretic Approach in Wireless Sensor Networks for IoT Applications
IEEE Internet of Things Journal, 2014Co-Authors: Junqi Duan, Chuan Foh, Deyun Gao, Dong Yang, Hsiao-hwa ChenAbstract:Trust evaluation plays an important role in securing wireless sensor networks (WSNs) which is one of the most popular network technologies for the Internet of Things (IoT). The efficiency of the trust evaluation process is largely governed by the trust derivation as it dominates the overhead in the process, and performance of WSNs is particularly sensitive to overhead due to the limited bandwidth and power. This paper proposes an energyaware trust derivation scheme using game Theoretic Approach, which manages overhead while maintaining adequate security of WSNs. A risk strategy model is first presented to stimulate WSN nodes’ cooperation. Then, a game Theoretic Approach is applied to the trust derivation process to reduce the overhead of the process. We show with the help of simulations that our trust derivation scheme can achieve both intended security and high efficiency suitable for WSN-based IoT networks.
Frederic Hamelin - One of the best experts on this subject based on the ideXlab platform.
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reliability assessment method for structural observer based fdi scheme by a graph Theoretic Approach
Annual Reviews in Control, 2013Co-Authors: Christophe Simon, Taha Boukhobza, Frederic HamelinAbstract:Abstract The aim of this paper is to assess the reliability of a fault detection and isolation scheme (FDI) and the impact of sensor’s failure probability on such scheme. The proposed method is based on a graph-Theoretic Approach and assumes only the knowledge of the system’s structure. For a structured linear system (SLS), we first recall the fault diagnosis conditions when using an observer based scheme. Then, we deduce the sets of sensors that ensure the validity of such conditions. Next, we proceed with a reliability analysis of this kind of diagnosability property based on the sensors’ reliability. Through the assessment of an importance factor, we propose a simple maintenance strategy to maintain the level of the property reliability. The contribution concerns the combination of dependability and structural analysis for studying system’s properties.
Ranjan K Mallik - One of the best experts on this subject based on the ideXlab platform.
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a game Theoretic Approach for distributed power control in interference relay channels
IEEE Transactions on Wireless Communications, 2009Co-Authors: Yi Shi, Jiaheng Wang, K B Letaief, Ranjan K MallikAbstract:This paper considers the multiuser power control problem in Gaussian frequency-flat interference relay channels using a game-Theoretic framework. While a lot of attention has been paid to Gaussian interference games, where sufficient conditions for the uniqueness of the Nash equilibrium (NE) have been established, these types of games have not been studied in the context of interference relay channels. We consider here Gaussian interference relay games (GIRGs), where instead of allocating the power budget across a set of sub-channels, each player aims to decide the optimal power control strategy across a set of hops. We show that the GIRG always possesses a unique NE for a two-player version of the game, irrespective of any channel realization or initial system parameters such as power budgets and noise power. Furthermore, we derive explicitly a sufficient condition under which the NE achieves Pareto-optimality. To facilitate decentralized implementation, we propose a distributed and asynchronous algorithm. We also prove that the proposed algorithm always converges to the unique NE from an arbitrary starting point. We then conclude that the distributed game-Theoretic Approach exhibits great potential in the context of interference relay channels and qualifies as a practically appealing candidate for power control.
Qiao Li - One of the best experts on this subject based on the ideXlab platform.
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an information Theoretic Approach to pmu placement in electric power systems
IEEE Transactions on Smart Grid, 2013Co-Authors: Qiao Li, Rohit Negi, Yang Weng, Franz Franchetti, Marija IlicAbstract:This paper presents an information-Theoretic Approach to address the phasor measurement unit (PMU) placement problem in electric power systems. Different from the conventional `topological observability' based Approaches, this paper advocates a much more refined, information-Theoretic criterion, namely the mutual information (MI) between PMU measurements and power system states. The proposed MI criterion not only includes observability as a special case, but also rigorously models the uncertainty reduction on power system states from PMU measurements. Thus, it can generate highly informative PMU configurations. The MI criterion can also facilitate robust PMU placement by explicitly modeling probabilistic PMU outages. We propose a greedy PMU placement algorithm, and show that it achieves an approximation ratio of (1-1/e) for any PMU placement budget. We further show that the performance is the best that one can achieve, in the sense that it is NP-hard to achieve any approximation ratio beyond (1-1/e) . Such performance guarantee makes the greedy algorithm very attractive in the practical scenario of multi-stage installations for utilities with limited budgets. Finally, simulation results demonstrate near-optimal performance of the proposed PMU placement algorithm.
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an information Theoretic Approach to pmu placement in electric power systems
arXiv: Optimization and Control, 2012Co-Authors: Qiao Li, Rohit Negi, Yang Weng, Tao Cui, Franz Franchetti, Marija IlicAbstract:This paper presents an information-Theoretic Approach to address the phasor measurement unit (PMU) placement problem in electric power systems. Different from the conventional 'topological observability' based Approaches, this paper advocates a much more refined, information-Theoretic criterion, namely the mutual information (MI) between the PMU measurements and the power system states. The proposed MI criterion can not only include the full system observability as a special case, but also can rigorously model the remaining uncertainties in the power system states with PMU measurements, so as to generate highly informative PMU configurations. Further, the MI criterion can facilitate robust PMU placement by explicitly modeling probabilistic PMU outages. We propose a greedy PMU placement algorithm, and show that it achieves an approximation ratio of (1-1/e) for any PMU placement budget. We further show that the performance is the best that one can achieve in practice, in the sense that it is NP-hard to achieve any approximation ratio beyond (1-1/e). Such performance guarantee makes the greedy algorithm very attractive in the practical scenario of multi-stage installations for utilities with limited budgets. Finally, simulation results demonstrate near-optimal performance of the proposed PMU placement algorithm.
